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Papers (including subtopics)

Optimal Multi-Fidelity Best-Arm Identification NeurIPS 2024 Optimal Non-Redundant Manipulator Surface Coverage with Rank-Deficient Manipulability Constraints RSS 2024 Optimal Parallelization of Boosting NeurIPS 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NeurIPS 2024 Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction ICML 2024 Optimal Regret Bounds for Collaborative Learning in Bandits ALT 2024 Optimal Ridge Regularization for Out-of-Distribution Prediction ICML 2024 OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS ICLR 2024 Optimal Sample Complexity for Average Reward Markov Decision Processes ICLR 2024 Optimal Sample Complexity of Contrastive Learning ICLR 2024 Optimal Scalarizations for Sublinear Hypervolume Regret NeurIPS 2024 Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions JMLR 2024 Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms ICLR 2024 Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos NeurIPS 2024 Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NeurIPS 2024 Optimal transport based adversarial patch to leverage large scale attack transferability ICLR 2024 Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking ACL 2024 Optimal Transport with Tempered Exponential Measures AAAI 2024 Optimal Weighted Random Forests JMLR 2024 Optimal Zero-Shot Detector for Multi-Armed Attacks AISTATS 2024 Optimised Storage for Datalog Reasoning AAAI 2024 Optimising Distributions with Natural Gradient Surrogates AISTATS 2024 Optimistic Information Directed Sampling COLT 2024 Optimistic Multi-Agent Policy Gradient ICML 2024